A novel method of image gaussian noise filtering based on series connected PCNN model

He Jinping*, Gao Kun, Ni Guoqiang

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

In this paper, a new image de-noising algorithm based on series connected pulse-coupled neural networks (PCNN) model is presented. Traditional PCNN is a single layer model, which is suitable for real-time image processing. In this article, a new improved PCNN model called the 'series connected PCNN' is proposed, and the traditional PCNN model has been rationally simplified. The simplified 'series connected PCNN' model has less iterative times, and it's more sensitive to image edges than the traditional model. The experimental results show that the new algorithm is very effective and provides better performance in protecting image edges compared with the median filter.

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